Now redundant weka mirror. Visit https://github.com/Waikato/weka-trunk for the real deal

Multi-label classifiers and evaluation procedures using the Weka machine learning framework.

Weka package for the Deeplearning4j java library

No longer updated mirror of the Weka 3.8 branch.

Python 3 wrapper for Weka using JPype.

No longer updated mirror of the Weka trunk branch.

Home of the Weka wiki.

Python 2.7 wrapper for Weka using javabridge.

A WEKA package for analyzing emotion and sentiment of tweets.

Machine Learning & Data Mining with JRuby

Arrhythmia Classification through Characteristics Extraction with Discrete Wavelet Transform & WEKA/MATLAB Supervised Training

NSLKDD Dataset for WEKA

Example code for the python-weka-wrapper project.

Spring based Simple Java Framework, For rapid develop Spring boot or spring config application,Support and integrate with HDFS/Local/FTP/AWS/COS/OSS FileSystem Accessors.Custom ORM Solution,can merge JPA and mybatis or mybatisplus.Weka and spark mlib based dataming project

Pointer to the official Weka repository.

:ribbon: A data mining suite for gene expression data.

Data Mining engine for FX and stocks trading.

My own face recognition system using the Weka ML library's algorithms and neural networks(free). Clone this repo, give it a star, and have fun using my facial recognition app!

Weka with spring example

JCLAL is a general purpose framework developed in Java for Active Learning.

Semi-Supervised Learning and Collective Classification

Arrhythmia Classification through Characteristics Extraction with Discrete Wavelet Transform & Machine Learning

A question answering system which utilises machine learning.

Pixel based classification of satellite imagery - feature generation using Orfeo Toolbox, feature selection using Learning Vector Quantization, CLassification using Decision Tree, Neural Networks, Random Forests, KNN and Naive Bayes Classifier

Example code for the python-weka-wrapper3 project.

Open-source software pipeline for cancer classification from high-throughput data using machine learning.

A tool to support using classification models in low-power and microcontroller-based embedded systems.

A new framework to generate interpretable classification rules

Cross-project defection prediction tooling

Makes Weka algorithms available in scikit-learn, by using python-weka-wrapper3 under the hood.